Triple
T19450296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nolan Bushnell |
E486597
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
uWink
uWink was an interactive entertainment and dining company created by Atari and Chuck E. Cheese founder Nolan Bushnell that focused on technology-driven restaurant experiences.
|
E1376376
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: uWink | Statement: [Nolan Bushnell, founded, uWink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: uWink Context triple: [Nolan Bushnell, founded, uWink]
-
A.
WINK
WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
-
B.
Wink
Wink is a character in the film "8 Mile," known as a local music promoter who befriends and later betrays the protagonist, Jimmy "B-Rabbit" Smith Jr.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: uWink Triple: [Nolan Bushnell, founded, uWink]
Generated description
uWink was an interactive entertainment and dining company created by Atari and Chuck E. Cheese founder Nolan Bushnell that focused on technology-driven restaurant experiences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: uWink Target entity description: uWink was an interactive entertainment and dining company created by Atari and Chuck E. Cheese founder Nolan Bushnell that focused on technology-driven restaurant experiences.
-
A.
WINK
WINK is a type of regional multiple-unit train developed and marketed by Stadler Rail for efficient, flexible passenger service.
-
B.
Wink
Wink is a character in the film "8 Mile," known as a local music promoter who befriends and later betrays the protagonist, Jimmy "B-Rabbit" Smith Jr.
-
C.
WU
WU is the stock ticker symbol for Western Union, a global financial services company best known for its money transfer and payment services.
-
D.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
E.
WÜ
WÜ is the vehicle registration code for the city and district of Würzburg in the Lower Franconia region of Bavaria, Germany.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338caeb48190aeb1d511996984e3 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b3175248190817aedbfd95927dc |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073be7e28c8190999dacec37a2f3b4 |
completed | May 15, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073c9461d08190a2b89ebd16e66a58 |
completed | May 15, 2026, 3:32 p.m. |
Created at: April 10, 2026, 1:38 p.m.